The research presented here outlines an application of Agent-Based Modelling (ABM) used to support strategic decision-making in the emergency services. Here the resulting ABM-driven Decision Support System (DSS) (called ‘Premonition’) is designed to help practitioners engage with a complex and dynamic environment of co-evolving fire risk behaviours through time. Social change is presented here as a process by which behaviours co-evolve within connected networks of agents. ABM is identified as a beneficial approach to simulate changing household behaviours and the influence of social networks, environmental factors, and also fire service interventions within the Sheffield City region, UK. This project seeks to develop a DSS which supports the stages of ‘intelligence’, ‘design’, and ‘choice’ as the decision-maker moves from identifying problem areas, establishing possible strategies for intervention, and predicting possible outcomes of alternative courses of action.
|Publication status||Published - 2016|
|Event||International Conference on Enterprise Information Systems - Rome, Italy|
Duration: 25 Apr 2016 → 28 Apr 2016
|Conference||International Conference on Enterprise Information Systems|
|Abbreviated title||ICEIS 2016|
|Period||25/04/16 → 28/04/16|
Bibliographical noteThe full text is not available on the repository.
- Decision Support System
- Agent-Based Model
- Domestic Fire Risk Behaviour
Dobson, S., Burkett, M., Breslin, D., & Romano, D. (2016). Developing an ABM-driven Decision Support System in the Emergency Services. 151-157. Paper presented at International Conference on Enterprise Information Systems, Rome, Italy. https://doi.org/10.5220/0005773501510157